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https://issues.apache.org/jira/browse/BAHIR-130?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16140186#comment-16140186
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Esteban Laver commented on BAHIR-130:
-------------------------------------
[~romeokienzler] Just to know a bit more details, where are you running this
connector? Locally? On Bluemix?
Also, when loading Cloudant data into Spark using the '_all_docs' (which is
default) endpoint, you can lower the number of partitions used during load by
changing the `jsonstore.rdd.partitions` value. Changing this value will also
lower the requests per second. I believe the ideal number of partitions for a
Cloudant Lite plan is 3. For example:
spark = SparkSession\
.builder\
.appName("Cloudant Spark SQL Example in Python using dataframes")\
.config("cloudant.host","ACCOUNT.cloudant.com")\
.config("cloudant.username", "USERNAME")\
.config("cloudant.password","PASSWORD")\
.config("jsonstore.rdd.partitions", 3)\
.getOrCreate()
> Support Cloudant Lite Plan
> --------------------------
>
> Key: BAHIR-130
> URL: https://issues.apache.org/jira/browse/BAHIR-130
> Project: Bahir
> Issue Type: Improvement
> Components: Spark SQL Data Sources
> Affects Versions: Spark-2.0.0, Spark-2.0.1, Spark-2.0.2, Spark-2.1.0,
> Spark-2.1.1, Spark-2.2.0
> Environment: ApacheSpark, any
> Reporter: Romeo Kienzer
> Assignee: Romeo Kienzer
> Priority: Minor
> Fix For: Spark-2.1.1, Spark-2.2.0
>
> Original Estimate: 24h
> Remaining Estimate: 24h
>
> Cloudant has a plan called "Lite" supporting only five requests per second.
> So you end up with the following exception:
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 4 in
> stage 0.0 failed 10 times, most recent failure: Lost task 4.9 in stage 0.0
> (TID 42, yp-spark-dal09-env5-0040): java.lang.RuntimeException: Database
> harlemshake2 request error: {"error":"too_many_requests","reason":"You've
> exceeded your current limit of 5 requests per second for query class. Please
> try later.","class":"query","rate":5}
> at
> org.apache.bahir.cloudant.common.JsonStoreDataAccess.getQueryResult(JsonStoreDataAccess.scala:158)
> at
> org.apache.bahir.cloudant.common.JsonStoreDataAccess.getIterator(JsonStoreDataAccess.scala:72)
> Suggestion: Change JsonStoreDataAccess.scala in a way that when a 403 HTTP
> status code is returned the response is parsed in order to obtain the rate
> limit and then throttle the query down to that limit. In addition issue a
> WARNING in the log
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